Visualization and data mining
Download
1 / 10

Visualization and Data Mining - PowerPoint PPT Presentation


  • 116 Views
  • Uploaded on

Visualization and Data Mining. Daniel A. Keim Professor and Head of Data Mining and Information Visualization University of Constance 78457 Konstanz, Germany [email protected] Comments. Tight Integration of Data Mining and Visualization

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Visualization and Data Mining ' - onan


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Visualization and data mining

Visualization and Data Mining

Daniel A. Keim

Professor and Head of Data Mining and Information Visualization

University of Constance

78457 Konstanz, Germany

[email protected]


Comments
Comments

  • Tight Integration of Data Mining and Visualization

    • Automatic Data Mining for Data Preprocessing

    • Using Visualization to Steer Automatic Data Analysis

    • Automatic Analysis Techniques for selecting the visualization

  • Important Challenges- Business Analytics: CRM, Marketing, Finance, … - Network Analytics: Monitoring, Security, …

    • many involve GIS

    • differences to NVAC ?

My Name, title and AffiliationDaniel Keim, University of Constance


Tight integration

Data

Data

Data

DM-Algorithm

step 1

Visualization of

the data

Visualization of

DM-Algorithm

the result

DM-Algorithm

step n

Visualization + Interaction

DM-Algorithm

Result

Result

Visualization of

the result

Result

Knowledge

Knowledge

Knowledge

Subsequent

Visualization

Tightly integrated

Visualization

Preceding

Visualization

Tight Integration


Tightly integrated visualization
Tightly Integrated Visualization

  • Visualization of algorithmic decisions

  • Data and patterns are better understood

  • User can make decisions based on perception

  • User can make decisions based on domain knowledge

  • Visualization of result enables user specified feedback for next algorithmic run

Data

DM-Algorithm

step 1

DM-Algorithm

step n

Visualization + Interaction

Result

Knowledge


Visual classification aek 00
Visual Classification [AEK 00]

...

  • Each attribute is sorted and visualized separately

  • Each attribute value is mapped onto a unique pixel

  • The color of a pixel is determined by the class label of the object

  • The order is reflected by the arrangement of the pixels


Visual classification
Visual Classification

  • A New Visualization of a Decision Tree

age < 35

G

Salary

< 40

> 80

[40,80]

P

V

G


Example of tight integration visual classification
Example of Tight Integration:Visual Classification

Level 1

Level 2

...

leaf

split point

inherited split point

Level 18


Geo related information learning from history
Geo-related information: Learning from History


Computer generated Cartograms

Presidential

Election 2000

Results

Bush – Gore


Rectangular cartograms 2004 election results
Rectangular Cartograms: 2004 Election Results


ad